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Auto-update JSON schema
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Lines changed: 177 additions & 3 deletions

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‎sidemantic-schema.json‎

Lines changed: 177 additions & 3 deletions
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@@ -215,6 +215,19 @@
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"Metric": {
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"description": "Measure definition - supports simple aggregations and complex metric types.\n\nMeasures can be:\n- Simple aggregations: SUM(amount), COUNT(*), AVG(price)\n- Ratios: revenue / order_count\n- Derived formulas: (revenue - cost) / revenue\n- Cumulative: running totals, period-to-date\n- Time comparisons: YoY, MoM growth\n- Conversion funnels: signup -> purchase rate\n\nAuto-registers as a graph-level metric with the current semantic layer context if available.",
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"properties": {
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"activity_event": {
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"anyOf": [
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{
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "SQL filter for activity event (default: any event, e.g., \"event IS NOT NULL\")",
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"title": "Activity Event"
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},
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"agg": {
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"anyOf": [
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{
@@ -285,6 +298,19 @@
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"description": "Comparison calculation (default: percent_change)",
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"title": "Calculation"
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},
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"cohort_event": {
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"anyOf": [
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{
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "SQL filter for cohort-defining event (e.g., \"event = 'install'\")",
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"title": "Cohort Event"
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},
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"comparison_type": {
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"anyOf": [
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{
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"description": "Time offset for denominator (e.g., '1 month')",
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"title": "Offset Window"
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},
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"periods": {
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"anyOf": [
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{
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"type": "integer"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "Number of retention periods to compute (e.g., 28 for 28-day)",
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"title": "Periods"
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},
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"public": {
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"default": true,
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"description": "Whether metric is visible in API/UI",
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"title": "Public",
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"type": "boolean"
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},
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"retention_granularity": {
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"anyOf": [
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{
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"enum": [
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"day",
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"week",
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"month"
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],
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "Time granularity for retention periods (day, week, month)",
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"title": "Retention Granularity"
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},
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"sql": {
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"anyOf": [
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{
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"derived",
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"cumulative",
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"time_comparison",
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"conversion"
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"conversion",
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"retention"
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],
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"type": "string"
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},
@@ -1148,6 +1206,19 @@
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"items": {
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"description": "Measure definition - supports simple aggregations and complex metric types.\n\nMeasures can be:\n- Simple aggregations: SUM(amount), COUNT(*), AVG(price)\n- Ratios: revenue / order_count\n- Derived formulas: (revenue - cost) / revenue\n- Cumulative: running totals, period-to-date\n- Time comparisons: YoY, MoM growth\n- Conversion funnels: signup -> purchase rate\n\nAuto-registers as a graph-level metric with the current semantic layer context if available.",
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"properties": {
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"activity_event": {
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"anyOf": [
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{
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "SQL filter for activity event (default: any event, e.g., \"event IS NOT NULL\")",
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"title": "Activity Event"
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},
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"agg": {
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"anyOf": [
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{
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"description": "Comparison calculation (default: percent_change)",
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"title": "Calculation"
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},
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"cohort_event": {
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"anyOf": [
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{
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "SQL filter for cohort-defining event (e.g., \"event = 'install'\")",
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"title": "Cohort Event"
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},
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"comparison_type": {
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"anyOf": [
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{
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"description": "Time offset for denominator (e.g., '1 month')",
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"title": "Offset Window"
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},
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"periods": {
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"anyOf": [
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{
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"type": "integer"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "Number of retention periods to compute (e.g., 28 for 28-day)",
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"title": "Periods"
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},
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"public": {
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"default": true,
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"description": "Whether metric is visible in API/UI",
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"title": "Public",
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"type": "boolean"
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},
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"retention_granularity": {
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"anyOf": [
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{
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"enum": [
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"day",
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"week",
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"month"
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],
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "Time granularity for retention periods (day, week, month)",
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"title": "Retention Granularity"
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},
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"sql": {
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"anyOf": [
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{
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"derived",
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"cumulative",
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"time_comparison",
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"conversion"
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"conversion",
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"retention"
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],
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"type": "string"
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},
@@ -1831,6 +1947,19 @@
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"Metric": {
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"description": "Measure definition - supports simple aggregations and complex metric types.\n\nMeasures can be:\n- Simple aggregations: SUM(amount), COUNT(*), AVG(price)\n- Ratios: revenue / order_count\n- Derived formulas: (revenue - cost) / revenue\n- Cumulative: running totals, period-to-date\n- Time comparisons: YoY, MoM growth\n- Conversion funnels: signup -> purchase rate\n\nAuto-registers as a graph-level metric with the current semantic layer context if available.",
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"properties": {
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"activity_event": {
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"anyOf": [
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{
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "SQL filter for activity event (default: any event, e.g., \"event IS NOT NULL\")",
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"title": "Activity Event"
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},
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"agg": {
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"anyOf": [
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{
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"description": "Comparison calculation (default: percent_change)",
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"title": "Calculation"
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},
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"cohort_event": {
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"anyOf": [
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{
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "SQL filter for cohort-defining event (e.g., \"event = 'install'\")",
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"title": "Cohort Event"
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},
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"comparison_type": {
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"anyOf": [
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{
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"description": "Time offset for denominator (e.g., '1 month')",
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"title": "Offset Window"
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},
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"periods": {
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"anyOf": [
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{
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"type": "integer"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "Number of retention periods to compute (e.g., 28 for 28-day)",
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"title": "Periods"
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},
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"public": {
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"default": true,
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"description": "Whether metric is visible in API/UI",
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"title": "Public",
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"type": "boolean"
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},
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"retention_granularity": {
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"anyOf": [
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{
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"enum": [
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"day",
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"week",
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"month"
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],
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"type": "string"
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},
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{
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"type": "null"
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}
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],
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"default": null,
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"description": "Time granularity for retention periods (day, week, month)",
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"title": "Retention Granularity"
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},
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"sql": {
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"anyOf": [
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{
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"derived",
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"cumulative",
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"time_comparison",
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"conversion"
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"conversion",
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"retention"
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],
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"type": "string"
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},

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